AD |
Alzheimer’s disease |
ADNI |
Alzheimer’s Disease Neuroimaging Initiative |
AGI |
Artificial general intelligence |
AI |
Artificial intelligence |
BERT |
Bidirectional Encoder Representations from Transformers |
CSF |
Cerebrospinal fluid |
CNN |
Convolutional neural network |
DBS |
Deep brain stimulation |
DL |
Deep learning |
DQN |
Deep Q-networks |
DNA |
Deoxyribonucleic acid |
DTI |
Diffusion tensor imaging |
ERNIE |
Enhanced Representation Through Knowledge Integration |
FoG |
Freezing of gait |
fMRI |
Functional MRI |
GDPR |
General Data Protection Regulation |
GPU |
Graphical processing unit |
HIPAA |
Health Insurance Portability and Accountability Act |
IoT |
Internet of Things |
LLM |
Large language model |
LSTM |
Long short-term memory |
ML |
Machine learning |
MRI |
Magnetic resonance imaging |
MFCC |
Mel-frequency cepstral coefficient |
MMSE |
Mini-Mental Status Examination |
MADDF |
Multimodal Alzheimer’s Disease Diagnosis framework |
NN |
Neural network |
ND |
Neurodegenerative disorder |
OECD |
Organization For Economic Co-Operation and Development |
PD |
Parkinson’s disease |
PET |
Positron emission tomography |
QoL |
Quality of life |
RNN |
Recurrent neural network |
RL |
Reinforcement learning |
RLHF |
Reinforcement learning from human feedback |
RAG |
Retrieval-augmented generation |
SARSA |
State–action–reward–state–action |
TPU |
Tensor processing unit |
USFDA |
United States Food and Drug Administration |